Hybrid Intelligent Techniques for Pattern Analysis and Understanding

Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios.

An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation, character recognition, human behavioral analysis, hyperspectral data processing, and medical image analysis.

Table of Contents

Chapter 1: Offline Writer Verification Based on Bangla Handwritten Characters Using Enhanced Textual Feature
Chapter 2: Hybrid Intelligence Techniques for Handwritten Digit Recognition
Chapter 3: Artificial Immune Recognition System for Offine Handwritten Signature Verification
Chapter 4: Parametric Object Detection Using Estimation of Distribution Algorithms
Chapter 5: Hybrid Approach towards Malaria Parasites Detection from Thin Blood Smear Image
Chapter 6: Noise Removal Techniques in Medical Images
Chapter 7: Face Recognition–Oriented Biometric Security System
Chapter 8: Optimization of Hand Motion Recognition System Based on 2D HMM Approach Using ABC Algorithm
Chapter 9: Smart Visual Surveillance Technique for Better Crime Management
Chapter 10: Watershed Image Analysis Using a PSO-CA Hybrid Approach
Chapter 11: An Analysis of Brain MRI Segmentation
Chapter 12: Haralick’s Texture Descriptors for Classification of Renal Ultrasound Images
Chapter 13: A Self-Organizing Map-Based Spectral Clustering on Shortest Path of a Graph
Chapter 14: Quantum Algorithm for Sequence Clustering